Senior Data Scientist - Procurement & Ops Analytics

PPG Industries

Wrocław

Hybrid

PLN 240,000 - 360,000

Full time

14 days+

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Benefits offered by this job

Hybrid work model
Office in Wroclaw

Job summary

PPG is seeking a Senior Data Scientist in Wroclaw to lead analytics across procurement and operations COE. You will turn complex data into decision-ready insights that improve processes and unlock measurable value.

The role blends advanced analytics, business strategy, and technology with global collaboration. Expect a hybrid work model (3 office days, chosen by you) and collaboration with leadership to deploy scalable analytics solutions.

Qualifications

  • 7+ years of experience delivering end-to-end data science or advanced analytics solutions.
  • Strong expertise in Python, SQL, and machine learning/statistical modeling.
  • Experience with modern analytics platforms such as Azure, Databricks, Snowflake, or Microsoft Fabric.
  • Experience translating ambiguous business problems into applicable analytics solutions.
  • Stakeholder management

Responsibilities

  • Lead high-value analytics use cases from problem framing through production with PMO impact.
  • Build and deploy predictive and prescriptive models using Python and SQL.
  • Transform ERP, supply chain, procurement and operations data into analytics assets.
  • Operationalize analytics products on modern data platforms and MLOps.
  • Deliver executive-ready insights via Power BI dashboards.
  • Partner cross-functionally to drive adoption and value realization.
  • Provide technical leadership and mentorship within a global COE

Skills

Python
SQL
Machine learning
Stakeholder management

Tools

Azure
Databricks
Snowflake
Microsoft Fabric

Job description

PPG is seeking a Senior Data Scientist in Wroclaw to lead analytics across procurement and operations COE. You will turn complex data into decision-ready insights that improve processes and unlock measurable value.

The role blends advanced analytics, business strategy, and technology with global collaboration. Expect a hybrid work model (3 office days, chosen by you) and collaboration with leadership to deploy scalable analytics solutions.

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